Run
223155

Run 223155

Task 3722 (Supervised Classification) hungarian Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.HyperPipes(1)Weka implementation of HyperPipes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.5833
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5629
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0901
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-38.1698
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4973
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4614
Cross-validation details (10-fold Crossvalidation)
Number of instances
294
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6777
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6599
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9439
Cross-validation details (10-fold Crossvalidation)
Recall
0.6599
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0778
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4802
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0359
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
916.6405
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training